Quantitative myocardial blush score (QuBE) allows the prediction of heart failure development in long-term follow-up in patients with ST-segment elevation myocardial infarction: Proof of concept study

Tomasik, Andrzej; Młyńczak, Tomasz; Nowak, Edyta; Pigoń, Katarzyna; Iwasieczko, Artur; Opara, Mariusz; Nowalany-Kozielska, Ewa

doi:10.5603/cj.a2017.0129

Cited by 7 publications

(1 citation statement)

References 35 publications

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“…One example, although not widely used today, is that of myocardial blushing in image analysis. However, it may well be possible to use it in the clinical setting, if online AI-based analysis can speed up the analysis process 29 . Complete reconstruction and analysis of the entire coronary artery tree can be the input for robotically assisted procedures, as described by Sardar et al 30 .…”

Section: Artificial Intelligence and Interventional Imagingmentioning

confidence: 99%

Robotics, imaging, and artificial intelligence in the catheterisation laboratory

Davies¹,

Cook²,

Dudek³

et al. 2021

EuroIntervention

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3D three-dimensional 4D four-dimensional AI artificial intelligence CT computed tomography DICOM Digital Imaging and Communications in Medicine (medical imaging standard) EU European Union FDA Food and Drug Administration IVUS intravascular ultrasound MRI magnetic resonance imaging OCT optical coherence tomography PCI percutaneous coronary interventions SPECT single-photon emission computed tomography

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Section: Artificial Intelligence and Interventional Imagingmentioning

confidence: 99%

Robotics, imaging, and artificial intelligence in the catheterisation laboratory

Davies¹,

Cook²,

Dudek³

et al. 2021

EuroIntervention

View full text Add to dashboard Cite

show abstract

Effect of Diabetes Mellitus and Left Ventricular Perfusion on Frequency of Development of Heart Failure and/or All-cause Mortality Late After Acute Myocardial Infarction

Tomasik

Nabrdalik

Kwiendacz

et al. 2021

The American Journal of Cardiology

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Low Quantitative Blush Evaluator score predicts larger infarct size and reduced left ventricular systolic function in patients with STEMI regardless of diabetes status

Nabrdalik

Tomasik

Irlik

et al. 2023

Sci Rep

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Type 2 diabetes mellitus (T2DM) and diminished myocardial perfusion increase the risk of heart failure (HF) and/or all-cause mortality during 6-year follow up following primary percutaneous coronary intervention (pPCI) for ST elevation myocardial infarction (STEMI). The aim of the present study was to evaluate the impact of myocardial perfusion on infarct size and left ventricular ejection fraction (LVEF) in patients with T2DM and STEMI treated with pPCI. This is an ancillary analysis of an observational cohort study of T2DM patients with STEMI. We enrolled 406 patients with STEMI, including 104 with T2DM. Myocardial perfusion was assessed with the Quantitative Myocardial Blush Evaluator (QUBE) and infarct size with the creatine kinase myocardial band (CK-MB) maximal activity and troponin area under the curve. LVEF was measured with biplane echocardiography using Simpson’s method at admission and hospital discharge. Analysis of covariance was used for modeling the association between myocardial perfusion, infarct size and left ventricular systolic function. Patients with T2DM and diminished perfusion (QUBE below median) had the highest CK-MB maximal activity (252.7 ± 307.2 IU/L, P < 0.01) along with the lowest LVEF (40.6 ± 10.0, P < 0.001). Older age (p = 0.001), QuBE below median (p = 0.026), and maximal CK-MB activity (p < 0.001) were independent predictors of LVEF. Diminished myocardial perfusion assessed by QuBE predicts significantly larger enzymatic infarct size and lower LVEF among patients with STEMI treated with pPCI, regardless of diabetes status.

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Quantitative myocardial blush score (QuBE) allows the prediction of heart failure development in long-term follow-up in patients with ST-segment elevation myocardial infarction: Proof of concept study

Abstract: The QuBE assessment of myocardial perfusion allows the prediction of HF development in the post-infarction period in this highly selective group of patients.

Cited by 7 publications

References 35 publications

Robotics, imaging, and artificial intelligence in the catheterisation laboratory

Robotics, imaging, and artificial intelligence in the catheterisation laboratory

Effect of Diabetes Mellitus and Left Ventricular Perfusion on Frequency of Development of Heart Failure and/or All-cause Mortality Late After Acute Myocardial Infarction

Low Quantitative Blush Evaluator score predicts larger infarct size and reduced left ventricular systolic function in patients with STEMI regardless of diabetes status

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